Case Study: Master Data Management for Insurance Providers

Impact Section

Problem Statement: Disconnected Systems Hindering Digital Transformation

A leading U.S.-based insurance provider faced operational challenges caused by a fragmented and inefficient data ecosystem. Their master data management (MDM) system required continuous enhancements and frequent troubleshooting, severely affecting business performance. Key issues included:

Technician Utilization
Disparate Data Silos
Policy, claim, and customer data were distributed across multiple systems, complicating unified insights and reporting.
Customer Satisfaction
System Performance Bottlenecks
Legacy MDM frameworks struggled with large-scale JSON/XML data processing, causing latency and instability.
Operational Bottlenecks
Slow ETL Pipelines
Manual data handling delayed ETL and data integration, reducing speed and accuracy of analytics.
Operational Bottlenecks
Upgrade and Compliance Gaps
Production support and validation processes were time-intensive, increasing risk during software upgrades.
Operational Bottlenecks
Lack of Business Intelligence Readiness
The inability to produce reliable, timely insights hindered strategic decisions.
Solution Section

Impact: Operational Downtime & Missed Opportunities

Without an integrated MDM and ETL framework, the insurer experienced:

Haversine Distance
Reduced Data Quality & Reliability
Inconsistent data led to erroneous insights and compliance issues.
Google Maps API
Slow Decision-Making:
Inefficient systems slowed reporting cycles, reducing business agility.
AI Recommendation Engine
High Downtime & Cost Overruns
Support teams spent excessive time fixing recurring issues in legacy systems.
AI Recommendation Engine
Limited System Scalability
Outdated infrastructure could not keep up with evolving insurance market demands.
Business Benefits Section

Solution: Intelligent MDM and ETL Services for Insurance Providers

JBS deployed a modernized master data management solution for insurance providers, focused on data quality, ETL integration, and system performance improvement.

Tech Dormancy Reduction
Enhanced Master Data Management Components
Upgraded Informatica MDM Hub and IDQ for governance, compliance, and consistent enterprise-wide master records.
Customer Satisfaction
MDM and ETL Data Integration
Built robust ETL pipelines using Informatica PowerCenter and SQL Server, automating ingestion, transformation, and loading of structured and unstructured datasets.
Technician Utilization
Optimized JSON/XML Data Processing:
Applied custom logic with audit trails and reconciliation mechanisms to streamline and validate document parsing at scale.
Technician Utilization
Agile Production Support
Embedded agile workflows into MDM maintenance cycles, accelerating support issue resolution and readiness for regulatory and platform upgrades.

Business Impact: Data Quality & System Efficiency Gains

With the implementation of this modern insurance MDM and ETL integration system, the client experienced:

Metric

Outcome

Technology Stack

Technology Stack

BI Tools
Informatica MDM
Data Services
IDQ
UI/UX
PowerCenter
BI Tools
SQL Server
JSON/XML

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